Quantitative EEG in de novo Parkinson's Disease: Comparison with Normal Controls and Essential Tremor Patients with Nonlinear Analysis

파킨슨병 환자의 정량적 뇌파분석 -비선형분석을 이용한 정상인 및 본태성 진전 환자와의 비교

  • Cho, Eun-Kyoung (Department of Neurology, Seoul Veterans Hospital) ;
  • Choi, Byung-Ok (Department of Neurology, College of Medicine, Ewha Womans University) ;
  • Kim, Yong-Jae (Department of Neurology, College of Medicine, Ewha Womans University) ;
  • Park, Ki-Duck (Department of Neurology, College of Medicine, Ewha Womans University) ;
  • Kim, Eung-Su (Division of IT Elec. Engineering, Daejon University) ;
  • Choi, Kyoung-Gyu (Department of Neurology, College of Medicine, Ewha Womans University)
  • 조은경 (서울보훈병원 신경과) ;
  • 최병옥 (이화여자대학교 의과대학 신경과학교실) ;
  • 김용재 (이화여자대학교 의과대학 신경과학교실) ;
  • 박기덕 (이화여자대학교 의과대학 신경과학교실) ;
  • 김응수 (대전대학교 IT 전자공학과) ;
  • 최경규 (이화여자대학교 의과대학 신경과학교실)
  • Published : 2006.12.30

Abstract

Background: Parkinson's disease is movement disorder due to dopaminergic deficiency. It has been noted that cognitive dysfunction also presented on Parkinson's disease patients. But, it is not clear whether such a cognitive dysfunction was a dopaminergic dysfunction or cholinergic dysfunction. Using linear and non-linear analyses, we analysed the effect of cognitive and motor symptom on EEG change. Methods: EEGs were recorded from patients with Parkinson's disease and essential tremor, and normal controls during rest. We calculated the power spectrum, correlation dimension and Lyapunov exponent by using 'Complexity'program. The power spectrum, correlation dimension, and Lyapunov exponent were compared between Parkinson's disease patients and essential tremor patients. Results: Theta power was increased in Parkinson's disease patient group. Correlation dimension was increased in Parkinson's disease patients. Positive correlation was noted between MMSE and correlation dimension, and negative correlation was noted between MMSE and Lyapunov exponent. Lyapunov exponent was decreased in Parkinson's disease patient. Conclusions: We conclude that the state of Parkinson's disease patient is characterized by increased correlation dimension and decreased Lyapunov exponent.

Keywords